Generating Synthetic Electricity Load Time Series at District Scale Using Probabilistic Forecasts

Generating Synthetic Electricity Load Time Series at District Scale Using Probabilistic Forecasts

Thanks to various European directives, individuals are empowered to share and trade electricity within Renewable Energy Communities, enhancing the operational efficiency of local energy systems. The digital transformation of the energy market enables the integration of decentralized energy resources...

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Bibliographic Details
Main Authors: Lucas Richter, Tom Bender, Steve Lenk, Peter Bretschneider
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Energies
Subjects:
synthetic time series
probabilistic neural network
electricity consumption
district scale
household data
Online Access:https://www.mdpi.com/1996-1073/17/7/1634

Internet

https://www.mdpi.com/1996-1073/17/7/1634

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